1. Recognise and communicate the inputs, outputs, relationships, boundaries, and data transformations of digital systems. 2. Design, train and use neural networks, SVN and ensemble tree models for business data systems. 3. Apply statistical techniques and mathematical reasoning to formulate machine learning tools for data analysis. 4. Apply the language, thinking and tools of data retrieval and manipulation to real-world problems. 5. Apply the communication framework for translating data analysis into decision making outcomes. 6. Articulate ideas, decisions, recommendations and other information in a clear, concise writing style tailored to a given audience.